Ammeter terminal temperature anomaly identification method, system and device and storage medium

Abstract

The invention discloses an electricity meter terminal temperature anomaly identification method, system and device and a storage medium, and relates to the technical field of intelligent electricity meter monitoring and anomaly detection.The method comprises the steps that currents of a live line loop and a zero line loop of an intelligent electricity meter are sampled, and the deviation rate of the live line current relative to the zero line current is calculated; estimating the temperature of the terminal of the electric energy meter based on the deviation rate and by using the resistance characteristic metering error change trend of the manganese-copper shunt; and when the terminal temperature estimated value of the electric energy meter exceeds a preset threshold value, determining that the temperature of the live wire terminal is abnormal, and recording an alarm event. The method realizes real-time acquisition of current difference characteristics, provides a reliable data basis for subsequent terminal temperature estimation, realizes a method of indirectly reflecting terminal temperature rise through electrical characteristics, ensures that alarm can be triggered and a complete tracing chain can be formed when temperature abnormity occurs, and improves the accuracy of terminal temperature estimation. Therefore, the controllability of the operation safety of the electric energy meter and the completeness of post analysis are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent electric energy meter monitoring and abnormality detection, in particular to an electric meter terminal temperature abnormality identification method, system, device and storage medium. BACKGROUND

[0002] In the power system, the intelligent electric energy meter is used for measuring and recording electric energy and is an extremely important device. The wiring terminal of the intelligent electric energy meter may overheat due to overcurrent, excessive contact resistance and other factors during long-term operation, which may cause the electric energy meter to malfunction and even cause a fire accident. According to relevant statistics, a considerable proportion of safety accidents caused by electric energy meter failure are caused by excessively high terminal temperature.

[0003] At the same time, with the development of smart grid and the improvement of national electricity consumption, the current specification of the intelligent electric energy meter is also continuously improved. The abnormal increase in terminal temperature caused by long-time high-current operation is also a potential safety hazard. Therefore, temperature monitoring of the terminal block of the intelligent electric energy meter can timely find potential hazards and reduce the possibility of accidents, thereby improving the stability and safety of power supply.

[0004] The existing method for identifying terminal temperature abnormality mainly adopts a direct measurement method. A temperature detection device or temperature detection element is embedded in the wiring terminal, and an external data processing unit is connected. The real-time temperature of the terminal is detected by the temperature sensor, and the detection result is transmitted to the data processing unit through an analog-to-digital converter after detection, so that the data processing unit can calculate the collected data to obtain the real-time temperature of the terminal. SUMMARY

[0005] In view of the above problems, the present application is proposed.

[0006] Therefore, the technical problem solved by the present application is that the existing terminal temperature measurement method has three main shortcomings. The direct measurement method has high requirements for the installation position, precision and stability of the temperature sensor. If the installation position is not proper, the real temperature of the terminal may not be accurately reflected, resulting in failure to timely identify the terminal temperature abnormality. Some temperature sensors may have reduced precision or be damaged after long-term use. The temperature sensor embedded in the wiring terminal increases the production cost of the electric energy meter. In addition, due to the high precision requirement for the installation position, the production process cost is also increased.

[0007] To solve the above technical problems, the application provides the following technical scheme: a meter terminal temperature anomaly identification method, comprising sampling the current of the firewire loop and the zero line loop of the smart electric energy meter, calculating the deviation rate of the firewire current compared with the zero line current; based on the deviation rate and using the manganese copper shunt resistance characteristic error change trend, the electric energy meter terminal temperature is estimated; when the electric energy meter terminal temperature estimated value exceeds the preset threshold value, it is determined that the firewire terminal temperature is abnormal, and the alarm event is recorded, the electric energy meter terminal temperature estimation includes based on the deviation rate of the firewire current compared with the zero line current, combining the ambient temperature and the ambient humidity, the temperature of the electric energy meter terminal is predicted, the prediction process includes, the function relationship of the firewire current, the running time and the current deviation rate is established, the temperature estimation of the electric energy meter terminal is characterized, the ambient temperature is taken as a correction factor, and the temperature prediction value of the electric energy meter terminal is formed.

[0008] As a preferred scheme of the meter terminal temperature anomaly identification method, wherein: the sampling of the current of the firewire loop and the zero line loop of the smart electric energy meter includes sampling the firewire loop current through the manganese copper shunt and sampling the zero line loop current through the current transformer.

[0009] As a preferred scheme of the meter terminal temperature anomaly identification method, wherein: the calculation of the deviation rate of the firewire current compared with the zero line current includes taking the zero line current as the current reference, and the deviation rate of the firewire current compared with the zero line current is represented as: , Wherein, is the deviation rate of the firewire current compared with the zero line current, is the firewire current, is the zero line current.

[0010] As a preferred scheme of the meter terminal temperature anomaly identification method, wherein: the manganese copper shunt resistance characteristic includes the characteristic that the firewire terminal temperature rise is affected by the firewire current and the terminal contact resistance, the relationship between the temperature rise change amount and the firewire current, the manganese copper shunt resistance and the contact resistance is established, and is represented as: , Wherein, is the temperature rise change amount, is the manganese copper resistance rate normal temperature coefficient, is the weight coefficient, is the manganese copper shunt resistance, is the terminal contact resistance, is the firewire current running time.

[0011] As a preferred scheme of the electric meter terminal temperature anomaly identification method, the terminal temperature of the electric meter is estimated based on the deviation rate of the live wire current compared to the zero line current, combined with the ambient temperature and the ambient temperature, and the terminal temperature of the electric meter is estimated as follows: , wherein, is the temperature estimation value of the electric meter terminal, is a function relationship based on the live wire current, the running time, and the deviation rate, is the ambient temperature.

[0012] As a preferred scheme of the electric meter terminal temperature anomaly identification method, the terminal temperature of the electric meter is estimated based on the deviation rate of the live wire current compared to the zero line current, combined with the ambient temperature and the ambient temperature, and the terminal temperature of the electric meter is estimated as follows:

[0013] As a preferred scheme of the electric meter terminal temperature anomaly identification method, the terminal temperature of the electric meter is estimated based on the deviation rate of the live wire current compared to the zero line current, combined with the ambient temperature and the ambient temperature, and the terminal temperature of the electric meter is estimated as follows:

[0014] Another object of the present application is to provide an electric meter terminal temperature anomaly identification system, which can obtain current difference characteristics by using a current sampling module to collect live wire and zero line currents in real time, indirectly calculate the terminal temperature of the electric meter based on the function relationship between the current deviation rate and temperature rise, combined with the resistance value characteristics of the manganese copper shunt, and finally trigger an alarm when the terminal temperature exceeds the preset threshold according to the temperature estimation result by the anomaly alarm module, and automatically record the alarm event, solving the problem of insufficient real-time and accuracy of the current existing electric meter temperature monitoring which relies on direct temperature measurement means.

[0015] As a preferred scheme of the electric meter terminal temperature anomaly identification system, the current sampling module is used to acquire the difference characteristics of the live wire and zero wire current in real time, and provide basic data for subsequent temperature estimation; the temperature estimation module is used to realize indirect calculation of the terminal temperature by establishing a functional relationship between the current deviation rate and temperature rise, and combining the resistance value characteristics of the manganese copper shunt; and the anomaly alarm module is used to identify the anomaly according to the temperature estimation result, and trigger the alarm and event storage when the anomaly occurs, so as to guarantee the monitoring and tracing functions.

[0016] A further object of the present application is to provide an electric meter terminal temperature anomaly identification device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the steps of the electric meter terminal temperature anomaly identification method.

[0017] A further object of the present application is to provide an electric meter terminal temperature anomaly identification storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the electric meter terminal temperature anomaly identification method.

[0018] The electric meter terminal temperature anomaly identification method provided by the present application realizes real-time acquisition of the current difference characteristics by sampling the currents of the live wire circuit and zero wire circuit of the smart electric energy meter and calculating the live wire current deviation rate compared with the zero wire current, provides a reliable data basis for subsequent terminal temperature estimation, thereby avoiding the time delay problem caused by simply relying on single-point temperature measurement, and realizes the method of indirectly reflecting the terminal temperature rise through electrical characteristics, overcomes the limitations of the existing direct temperature measurement method in terms of complex point distribution and sensor failure, guarantees the continuity and feasibility of temperature estimation, determines that the live wire terminal temperature is abnormal when the electric meter terminal temperature estimation value exceeds the preset threshold, and records the alarm event, realizes timely identification of the abnormal state and event trace, ensures that the alarm can be triggered and a complete tracing chain is formed when the temperature is abnormal, and thereby improves the controllability of the electric energy meter operation safety and the integrity of the post-analysis. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0020] Figure 1A whole flow chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application.

[0021] Figure 2 A temperature- electric energy meter firewire current error change curve chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application.

[0022] Figure 3 A temperature- electric energy meter firewire current error mean value change curve chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application.

[0023] Figure 4 A temperature- electric energy meter firewire current error mean value change curve fitting chart of an electric meter terminal temperature abnormality recognition method provided for the embodiment 1 of the present application. DETAILED DESCRIPTION

[0024] In order to make the above objectives, characteristics and advantages of the present application more apparent, obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present application.

[0025] Embodiment 1, refer to Figures 1-4 For an embodiment of the present application, an electric meter terminal temperature abnormality recognition method is provided, comprising: S1: sampling the currents of the firewire circuit and the zero line circuit of the smart electric energy meter, and calculating the deviation rate of the firewire current compared with the zero line current.

[0026] Further, as shown in Figure 1 , sampling the currents of the firewire circuit and the zero line circuit of the smart electric energy meter comprises sampling the firewire circuit current through a manganese copper shunt and sampling the zero line circuit current through a current transformer.

[0027] It should be noted that when sampling the firewire circuit current through the manganese copper shunt, the firewire circuit is connected in series with the manganese copper shunt, and the manganese copper shunt is characterized by extremely small resistance and stable temperature change characteristic, so that the current flowing through the firewire circuit is converted into a voltage signal proportional to it, and then the digital sampling value of the firewire circuit current is obtained through an analog-digital conversion circuit. When sampling the zero line circuit current through the current transformer, the zero line circuit passes through the core of the current transformer, and the current transformer outputs a current signal proportional to the zero line current, which is converted into a voltage signal through a conditioning circuit, and then the digital sampling value of the zero line circuit current is obtained through analog-digital conversion.

[0028] It should be noted that by using the manganese copper shunt to sample the live line current, low impedance high precision collection under high current conditions is realized, and current signal distortion caused by heating of the sampling element is avoided, thereby improving the measurement accuracy. By sampling the zero line current through the current transformer, safe and isolated sampling of the zero line current is realized, potential safety hazards caused by direct introduction of the zero line into the detection circuit are avoided, and the safety and reliability of the system are improved. Through the differential sampling path and digital conversion of the live line and the zero line, a complementary detection mechanism is formed, providing more accurate data support for subsequent current deviation rate calculation and temperature estimation, thereby enhancing the sensitivity and robustness of abnormal detection.

[0029] Furthermore, calculating the deviation rate of the live line current compared to the zero line current includes, taking the zero line current as the current reference, calculating the deviation rate of the live line current compared to the zero line current is represented as: , wherein, is the deviation rate of the live line current compared to the zero line current, is the live line current, is the zero line current.

[0030] It should be noted that when the intelligent single-phase meter single-phase loop is working normally, the current flowing out of the live line is equal to the current returned by the zero line. The live line current measurement loop of the intelligent single-phase meter uses manganese copper sampling, and the zero line loop uses a current transformer for sampling. Since the current transformer is almost not affected by temperature, the zero line current measurement value hardly changes, while the live line loop, due to the negative temperature coefficient of the manganese copper resistor, the measurement value of the live line current changes when the temperature rises. The change curve can be referred to the temperature-live line current error change curve described in the foregoing. Therefore, taking the zero line current as the current reference, the deviation of the live line current compared to the zero line current is investigated, and the ambient temperature and the current live line current value are simultaneously obtained. When the temperature rises, the resistance of the manganese copper shunt decreases due to the negative temperature coefficient, resulting in a smaller measurement value of the live line current, thereby causing a significant deviation between the live line current and the zero line current.

[0031] It should be noted that by taking the zero line current as the reference, the deviation rate calculation formula of the live line current compared to the zero line current is established, which can accurately reflect the live line current measurement error caused by temperature change without directly arranging a temperature sensor, thereby realizing indirect determination of the terminal temperature anomaly, reducing the sensor installation cost and structural complexity, introducing the characteristic that the resistance of the manganese copper shunt decreases as the temperature rises, and using the measurement deviation change trend of the live line current at different temperatures to establish a functional relationship between the current and the temperature, which can dynamically calculate the terminal temperature estimate, thereby improving the sensitivity and accuracy of live line terminal temperature anomaly identification.

[0032] S2: Estimate the terminal temperature of the electric energy meter based on the deviation rate and the error change trend of the manganese-copper shunt resistance characteristic.

[0033] Furthermore, the manganese-copper shunt resistance characteristic includes, for the characteristic that the terminal temperature rise of the live line is simultaneously affected by the live line current and the terminal contact resistance, establishing the relationship between the temperature rise change and the live line current, the manganese-copper shunt resistance and the contact resistance, which is represented as: , wherein, is the temperature rise change, is the manganese-copper resistivity normal temperature coefficient, is the weight coefficient, is the manganese-copper shunt resistance, is the terminal contact resistance, is the live line current running time.

[0034] It should be noted that the related data of the live line current, the manganese-copper shunt resistance, the terminal contact resistance and the live line current running time is based on the characteristic that the terminal temperature rise of the live line is simultaneously affected by the live line current, the manganese-copper shunt resistance and the terminal contact resistance, the relationship between the temperature rise change and the live line current, the manganese-copper shunt resistance and the contact resistance is established, and the temperature rise change is calculated. When the terminal contact of the live line is poor or there is an abnormally large current passing through, the Joule heat effect causes the terminal temperature to rise, and the heat is conducted to the manganese-copper sampling resistance through the metal support. The manganese-copper resistivity normal temperature coefficient is very small, about ‌( ), resulting in that the resistance value is basically unchanged in the normal temperature range. In the high temperature zone, it shows a negative temperature coefficient characteristic, and the resistance decreases significantly with the increase of temperature (negative temperature coefficient). According to the sampling process described in the Figure 1 , the sampling voltage will decrease after the manganese-copper resistance value decreases, and the live line current calculated by the metering chip will be smaller compared with the standard meter, and the metering error of the live line current of the electric energy meter and the live line current of the standard meter will show a negative deviation trend, as shown in Figure 2 and Figure 3 , after zeroing the normal temperature (23℃) and the error basic value, the AI data analysis is referenced to fit the data, and the function curve of Figure 4 is obtained. From the fitting result, it can be obtained that: , wherein, 、 、 、 is the fitting coefficient, corresponding to the weight coefficient of the fourth, third, second and first term respectively, used to reflect the nonlinear relationship between temperature and current error through polynomial fitting, The temperature of the terminal of the electric energy meter, The normal temperature is 23℃.

[0035] It should also be noted that by multiplying the square of the live line current with the copper-plated shunt resistance and the terminal contact resistance respectively, and combining the running time of the current and introducing different weight coefficients for weighting, the quantitative expression of the temperature rise change is obtained. It reflects the actual influence of the current heat effect on the terminal temperature rise. The calculation method of the current error change value is realized by establishing the nonlinear relationship between the terminal temperature and the current error. The difference between the terminal temperature and the normal temperature is used as the input variable by using the polynomial fitting method, and the law of the change of the current error with temperature is reflected by the weighted combination of the fourth, third, second and first terms, so as to realize the correction and compensation of the current deviation.

[0036] Further, the estimation of the terminal temperature of the electric energy meter includes that based on the deviation rate of the live line current compared with the zero line current, and combining the ambient temperature and the ambient temperature, the estimation of the terminal temperature of the electric energy meter is represented as: , Among them, The temperature estimation value of the terminal of the electric energy meter, The function relationship based on the live line current, the running time and the deviation rate, The ambient temperature.

[0037] It should be noted that based on the live line current, the running time and the deviation rate of the live line current compared with the zero line current, and combining the real-time data of the ambient temperature as the input parameter, the collected data is input into the established function relationship, wherein the live line current, the running time and the deviation rate are calculated by the function to obtain the quantity related to the terminal temperature rise, the ambient temperature is calculated by another function to obtain the quantity related to the terminal temperature rise, according to the weight coefficient, the two calculation results are weighted and superimposed to obtain the estimation value of the terminal temperature. Finally, the output terminal temperature estimation value is used as the basis for determining the state of the live terminal temperature. After the calculation is completed, the terminal temperature estimation value will be updated in real time, and compared with the threshold value. When the estimation value gradually approaches or exceeds the threshold value, the abnormal judgment logic is triggered, and all the original data of the sampling period and the temperature estimation value are stored together, which provides the basis for subsequent alarm and record.

[0038] It should also be noted that the function relationship of the live line current, the running time and the deviation rate can effectively reflect the heating process caused by the change of the current and the contact resistance, realize the indirect capture of the terminal temperature, and combine the correction factor of the ambient temperature, so that the estimation result can dynamically adapt to the external temperature fluctuation, and ensure the accuracy and stability of the temperature judgment.

[0039] S3: When the terminal temperature estimation value of the electric energy meter exceeds the preset threshold value, it is determined that the line terminal temperature is abnormal, and an alarm event is recorded.

[0040] Further, determining that the line terminal temperature is abnormal includes comparing the temperature estimation value of the electric energy meter terminal with the preset electric energy meter terminal temperature threshold value, and when the temperature estimation value of the electric energy meter terminal is greater than the preset electric energy meter terminal temperature threshold value, it is determined that the line terminal temperature is abnormal; when the temperature estimation value of the electric energy meter terminal is less than or equal to the preset electric energy meter terminal temperature threshold value, it is determined that the line terminal temperature is normal.

[0041] It should be noted that the temperature estimation value of the electric energy meter terminal is compared with the preset electric energy meter terminal temperature threshold value, if the temperature estimation value is greater than the preset electric energy meter terminal temperature threshold value, it is determined that the line terminal is in a temperature abnormal state, and an alarm logic is triggered; if the temperature estimation value is less than or equal to the preset electric energy meter terminal temperature threshold value, it is determined that the line terminal is in a normal state, and one preferred scheme of the preset electric energy meter terminal temperature threshold value is 85℃, when the temperature of the electric energy meter terminal exceeds 85℃, the copper conductor and the tinned contact will have a significant contact resistance rise phenomenon, which is easy to cause continuous heating and induce safety risks, and the existing industry standard sets 85℃ as the upper limit temperature for long-term safe operation of electric energy metering device terminals, setting 85℃ as the preferred threshold value not only meets the standard requirements, but also can ensure the long-term stable operation of the electric energy meter while realizing the early warning of potential temperature rise risks, thereby effectively improving the reliability and practicality of temperature abnormality identification.

[0042] It should also be noted that by comparing the temperature estimation value with the preferred threshold value, when the temperature exceeds 85℃, the alarm mechanism can be triggered in advance, and potential risks can be recorded and prompted in time, so that pre-intervention of abnormal risks can be realized without affecting the normal operation of the electric energy meter.

[0043] Further, recording the alarm event includes, when it is determined that the line terminal temperature is abnormal, generating an alarm event record, and writing the abnormality determination time, the corresponding terminal temperature estimation value, the line current, the neutral current, the running time, the environment temperature and the current deviation rate in the alarm event record, and indexing the alarm event record.

[0044] It should be noted that when the live terminal temperature is determined to be abnormal, a new record entry will be created, in which the abnormal determination time is automatically written, and the terminal temperature estimate, live current, zero current, running time, ambient temperature, and current deviation rate are recorded synchronously. The above parameters are stored in the alarm event database together with the timestamp for subsequent tracing and analysis. A unique index identifier is generated for each alarm event record, which is formed by combining the timestamp, event number, and device number, thereby ensuring that the alarm event can be quickly searched and located in multiple records. The alarm event record also triggers a real-time update mechanism and is displayed in a visual form on the monitoring interface or management platform, allowing operation and maintenance personnel to immediately view the time of abnormal occurrence and related operating data. When needed, the alarm event record can be exported as a report, serving as an important basis for electric energy meter operation safety assessment and maintenance decision-making.

[0045] It should also be noted that by generating a complete alarm event record after determining the abnormality of the live terminal temperature, the abnormal determination time, terminal temperature estimate, live current, zero current, running time, ambient temperature, and current deviation rate are written, and a unique index identifier is further generated for each alarm event record, enabling traceability, quick positioning, and cross-record searching of events. Combined with the real-time update mechanism and visual display function, operation and maintenance personnel can obtain specific data and background information about abnormal occurrences in a timely manner, improving the systematicness and controllability of event management and providing reliable data support for subsequent operation and maintenance scheduling and safety decision-making.

[0046] Embodiment 2, as an embodiment of the present application, provides an electric meter terminal temperature abnormality identification system, comprising a current sampling module, a temperature estimation module, and an abnormal alarm module.

[0047] The current sampling module is used to obtain the difference characteristics of live and zero currents in real time, providing basic data for subsequent temperature estimation.

[0048] The temperature estimation module is used to indirectly calculate the terminal temperature by establishing a functional relationship between the current deviation rate and the temperature rise, combined with the resistance characteristics of the manganese-copper shunt.

[0049] The abnormal alarm module is used to identify abnormalities based on the temperature estimation results and trigger alarms and event storage when abnormalities occur, ensuring monitoring and tracing functions.

[0050] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the technical solutions that essentially contribute to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0051] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered a list of executable instructions for implementing logic functions, and can be specifically embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions, or in conjunction with these instructions execution systems, apparatuses, or devices. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport programs for use by an instruction execution system, apparatus, or device, or in conjunction with these instruction execution systems, apparatuses, or devices.

[0052] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CD ROM). In addition, the computer readable medium can even be paper or other suitable medium on which the program can be printed, because the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by editing, interpreting, or otherwise processing, if necessary, in other suitable ways, to be electronically obtained, and then stored in the computer memory.

[0053] It should be understood that portions of the present application can be implemented in hardware, software, firmware, or combinations thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, implementation can be with any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0054] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, and all should be covered in the scope of the claims of the present application.

Claims

1. A method for identifying abnormal temperature at the terminals of an electricity meter, characterized in that, include: The current in the live wire circuit and the neutral wire circuit of the smart energy meter is sampled, and the deviation rate of the live wire current relative to the neutral wire current is calculated. Based on the deviation rate and utilizing the resistance characteristics of the manganese-copper shunt, the terminal temperature of the electricity meter is predicted. When the estimated temperature of the electricity meter terminals exceeds the preset threshold, it is determined that the temperature of the live wire terminals is abnormal and an alarm event is recorded. Predicting the temperature of the electricity meter terminals involves using the deviation rate of the live wire current relative to the neutral wire current, combined with ambient temperature and humidity, to predict the temperature of the electricity meter terminals. The prediction process includes establishing a functional relationship between the live wire current, operating time, and current deviation rate to characterize the estimated temperature of the electricity meter terminals, using ambient temperature as a correction factor, and comprehensively forming the predicted temperature value of the electricity meter terminals.

2. The method for identifying abnormal temperature at meter terminals as described in claim 1, characterized in that: The sampling of the current in the live wire circuit and the neutral wire circuit of the smart energy meter includes sampling the current in the live wire circuit through a manganese copper shunt and sampling the current in the neutral wire circuit through a current transformer.

3. The method for identifying abnormal temperature at meter terminals as described in claim 1 or 2, characterized in that: The calculation of the deviation rate between the live wire current and the neutral wire current includes, using the neutral wire current as the current reference, the deviation rate between the live wire current and the neutral wire current is expressed as follows: ， in, This represents the deviation rate of the live wire current compared to the neutral wire current. For live wire current, This is the neutral line current.

4. The method for identifying abnormal temperature at meter terminals as described in claim 3, characterized in that: The resistance characteristics of the manganese-copper shunt include, based on the characteristic that the temperature rise of the live wire terminal is simultaneously affected by the live wire current and the terminal contact resistance, establishing the relationship between the temperature rise change and the live wire current, the resistance of the manganese-copper shunt, and the contact resistance, expressed as: ， in, The change in temperature. The resistivity coefficient of manganin at room temperature. These are the weighting coefficients. For the manganese copper shunt resistor, For terminal contact resistance, This refers to the operating time of the live wire current.

5. The method for identifying abnormal temperature at meter terminals as described in any one of claims 1, 2, and 4, characterized in that: The estimation of the electricity meter terminal temperature includes, based on the deviation rate of the live wire current compared to the neutral wire current, and in conjunction with the ambient temperature, the estimated electricity meter terminal temperature is expressed as follows: ， in, Predicted temperature values ​​for the electricity meter terminals. This is based on a functional relationship between live wire current, running time, and deviation rate. The ambient temperature.

6. The method for identifying abnormal temperature at meter terminals as described in claim 5, characterized in that: The determination of abnormal live wire terminal temperature includes comparing the estimated temperature of the electricity meter terminal with a preset electricity meter terminal temperature threshold. If the estimated temperature of the electricity meter terminal is greater than the preset electricity meter terminal temperature threshold, it is determined that the live wire terminal temperature is abnormal. When the estimated temperature of the electricity meter terminals is less than or equal to the preset electricity meter terminal temperature threshold, the temperature of the live wire terminals is determined to be normal.

7. The method for identifying abnormal temperature at meter terminals as described in any one of claims 1, 2, 4, and 6, characterized in that: The recorded alarm events include generating an alarm event record when an abnormal temperature of the live wire terminal is determined, and writing the abnormal determination time, the corresponding terminal temperature estimate, the live wire current, the neutral wire current, the running time, the ambient temperature, and the current deviation rate into the alarm event record, while also indexing and identifying the alarm event record.

8. A meter terminal temperature anomaly identification system, employing the meter terminal temperature anomaly identification method as described in any one of claims 1 to 7, characterized in that: Includes a current sampling module, a temperature prediction module, and an anomaly alarm module; The current sampling module is used to acquire the difference characteristics of the current between the live wire and the neutral wire in real time, providing basic data for subsequent temperature prediction. The temperature prediction module is used to indirectly calculate the terminal temperature by establishing a functional relationship between the current deviation rate and the temperature rise, combined with the resistance characteristics of the manganese copper shunt. The abnormal alarm module is used to identify abnormalities based on temperature prediction results, and to trigger alarms and store events when abnormalities occur, thus ensuring monitoring and traceability functions.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the meter terminal temperature abnormality identification method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the meter terminal temperature abnormality identification method according to any one of claims 1 to 7.

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